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Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS - Tapa dura

Edward FVonesh

 
9781642953268: Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS
Tapa dura
ISBN 10: 1642953261 ISBN 13: 9781642953268
Editorial: SAS Institute Inc., 2019

Sinopsis

Edward Vonesh’s Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately.

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Editorial
SAS Institute Inc.
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1642953261
ISBN 13 
9781642953268
Encuadernación
Tapa dura
Número de páginas
552
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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